GenAI Production Engineer: RAG, LLMs & ML Ops

NDA; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

HireHi seeks an experienced AI/ML engineer to build production GenAI systems, RAG pipelines, and personalization models from development to deployment. You will work with PyTorch, LangChain, and vector databases to deliver scalable ML infrastructure in production.

The role requires hands-on experience with LLMs, embeddings, and transformers, plus MLOps skills using Docker, Kubernetes, and CI/CD. AWS deployment experience is a plus.

Qualifications

• 4–5+ years in AI/ML or data science.
• Advanced Python, SQL, and ML experience.
• Hands-on with LLMs, RAG, embeddings, and transformers.
• Experience with PyTorch or TensorFlow, Hugging Face, and LangChain or LlamaIndex.
• Experience with vector databases such as Pinecone, FAISS, Milvus, or OpenSearch.
• MLOps experience with Docker, Kubernetes, MLflow, and CI/CD.
• AWS and production AI/ML deployment experience.
• English B2

Responsibilities

• Build production GenAI systems, RAG pipelines, and personalization models.
• Develop scalable ML infrastructure from development through deployment.
• Collaborate with teams to integrate models into production systems.

Skills

Python

SQL

Machine Learning

LLMs

RAG

Embeddings

Transformers

AWS

English (B2)

Tools

PyTorch

TensorFlow

Hugging Face

LangChain

LlamaIndex

Pinecone

FAISS

Milvus

OpenSearch

Docker

Kubernetes

MLflow

CI/CD

Job description

HireHi seeks an experienced AI/ML engineer to build production GenAI systems, RAG pipelines, and personalization models from development to deployment. You will work with PyTorch, LangChain, and vector databases to deliver scalable ML infrastructure in production.

The role requires hands-on experience with LLMs, embeddings, and transformers, plus MLOps skills using Docker, Kubernetes, and CI/CD. AWS deployment experience is a plus.